Prologis (PLD) Dividend Coverage Ratio (2010 - 2013)
Prologis' (PLD) Dividend Coverage Ratio was 0.42 for Q4 2013, compared with -1.74 a year earlier.
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Analysis
Prologis (PLD) Dividend Coverage Ratio (2010 - 2013) Analysis & Trends
For FY2013, Dividend Coverage Ratio at Prologis was 0.57.
- By year, Dividend Coverage Ratio came in at -0.16 in FY2012, -0.49 in FY2011, -4.62 in FY2010 and -0.01 in FY2009.
- Five-year quarterly Dividend Coverage Ratio spans a low of -18.02 in Q4 2010 and a high of 2.04 in Q1 2013.
- Per Business Quant data, the three quarters before Q4 2013 came in at -0.05 (Q3 2013), -0.01 (Q2 2013) and 2.04 (Q1 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | - |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | - |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 9.20 |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 0.53 |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 0.24 |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 0.73 |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 0.68 |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 0.43 |
| 10 | Essex Property Trust | 17.61 Bn | 17.36 Bn | - | 0.59 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 0.42 |
| Sep 30, 2013 | -0.05 |
| Jun 30, 2013 | -0.01 |
| Mar 31, 2013 | 2.04 |
| Dec 31, 2012 | -1.74 |
| Sep 30, 2012 | -0.36 |
| Jun 30, 2012 | -0.06 |
| Mar 31, 2012 | 1.57 |
| Dec 31, 2011 | -0.35 |
| Sep 30, 2011 | 0.43 |
| Jun 30, 2011 | -2.33 |
| Mar 31, 2011 | -0.73 |
| Dec 31, 2010 | -18.02 |
| Sep 30, 2010 | -0.21 |
API Access
Prologis Dividend Coverage Ratio API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=dividend-coverage-ratio&ticker=PLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "ticker": "PLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividend-coverage-ratio&ticker=PLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();